• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >Enzyme inhibition studies by integrated Michaelis-Menten equation considering simultaneous presence of two inhibitors when one of them is a reaction product
【24h】

Enzyme inhibition studies by integrated Michaelis-Menten equation considering simultaneous presence of two inhibitors when one of them is a reaction product

机译：通过综合Michaelis-Menten方程进行的酶抑制研究，考虑其中两种抑制剂同时存在时的两种抑制剂

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

To determine initial velocities of enzyme catalyzed reactions without theoretical errors it is necessary to consider the use of the integrated Michaelis-Menten equation. When the reaction product is an inhibitor, this approach is particularly important. Nevertheless, kinetic studies usually involved the evaluation of other inhibitors beyond the reaction product. The occurrence of these situations emphasizes the importance of extending the integrated Michaelis-Menten equation, assuming the simultaneous presence of more than one inhibitor because reaction product is always present. This methodology is illustrated with the reaction catalyzed by alkaline phosphatase inhibited by phosphate (reaction product, inhibitor 1) and urea (inhibitor 2). The approach is explained in a step by step manner using an Excel spreadsheet (available as a template in Appendix). Curve fitting by nonlinear regression was performed with the Solver add-in (Microsoft Office Excel). Discrimination of the kinetic models was carried out based on Akaike information criterion. This work presents a methodology that can be used to develop an automated process, to discriminate in real time the inhibition type and kinetic constants as data (product vs. time) are achieved by the spectrophotometer. (C) 2016 Elsevier Ireland Ltd. All rights reserved.
机译：为了确定没有理论误差的酶催化反应的初始速度，有必要考虑使用积分Michaelis-Menten方程。当反应产物是抑制剂时，该方法特别重要。然而，动力学研究通常涉及评估反应产物以外的其他抑制剂。这些情况的发生强调了扩展积分Michaelis-Menten方程的重要性，假设同时存在多个抑制剂，因为反应产物始终存在。用磷酸盐（反应产物，抑制剂1）和尿素（抑制剂2）抑制的碱性磷酸酶催化的反应说明了该方法。使用Excel电子表格（在附录中可作为模板）逐步说明该方法。使用Solver外接程序（Microsoft Office Excel）通过非线性回归进行曲线拟合。动力学模型的区分是基于Akaike信息准则进行的。这项工作提出了一种可用于开发自动化过程的方法，以实时区分通过分光光度计获得的数据（产物与时间）的抑制类型和动力学常数。 （C）2016 Elsevier Ireland Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号